@conference {Romadi2014, title = {Detection and recognition of road signs in a video stream based on the shape of the panels}, booktitle = {2014 9th International Conference on Intelligent Systems: Theories and Applications, SITA 2014}, year = {2014}, note = {cited By 0}, abstract = {In this paper, we present a robust approach of automatic detection and recognition of road signs in national roads, starting from the images resulting from a video stream taken by a camera embarked on a vehicle. Our approach is composed of three main phases: the first phase is to extract video stream images containing a circle or a triangle. This extraction is performed respectively by Hough transformation and Ramer-Douglas-Peucker filter, the second phase consists of extraction areas of the calculated image, in the previous phase. In the third and last phase, we proceed to a matching of the extracted image areas with signs of reference by comparison of interest points extracted by the SURF method and the matching method FLANN. {\textcopyright} 2014 IEEE.}, doi = {10.1109/SITA.2014.6847285}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904598231\&doi=10.1109\%2fSITA.2014.6847285\&partnerID=40\&md5=62713d5791e141de32775236f194bb72}, author = {Romadi, M. and Oulah Haj Thami, R. and Romadi, R. and Chiheb, R.} }